FEATURE : CIO STRATEGIES
Jason Janicke , Senior Vice President of EMEA & APJ at Alteryx , explains that the rapid rise of Gen AI presents a significant opportunity for CIOs . agent that shapes their organisation ’ s future – steering the ship through tumultuous times .
Success in stepping up into this role , however , isn ’ t guaranteed . CIOs need the right priorities to ensure that scaling Gen AI strikes the right balance between the technical and business needs of IT – and ultimately fuels the goals of the organisation ’ s broader strategy .
The data stack is just the start
As interest in Gen AI continues to penetrate the media and business markets , executives everywhere are faced with expectations to pilot , scale and measure the impact of the technology .
A recent PwC survey found that 64 % of UK CEOs see Gen AI as enabling greater productivity in their workforce . That rings true given the success that businesses are enjoying from initial pilot programmes of the technology .
In a survey of global IT business leaders , we found that businesses have run an average of three pilots using gen AI , with 77 % stating that the projects were very or extremely successful .
Charting the course for scaling AI , however , is paved with difficulty . The responsibility falls to IT decisionmakers to innovate while navigating budget cuts against a precarious macroeconomic backdrop . Despite this , the meteoric rise of Gen AI is a massive opportunity for CIOs to forge a role as the change
Organisational tech stacks need to undergo change to be positioned for the era of intelligence with ubiquitous Gen AI and Machine Learning . Squeezing maximum insight from company data is essential to discovering efficiency gains , increasing profitability and uncovering new revenue streams .
The right data stack is important – but even more critical is having a way for business users to access , and generate insights from , data . Highquality data is required as an input for AI to generate high-quality output .
Modern data stacks facilitate this when they nail the fundamentals : storage , data governance , ETL , scalability and flexibility across on-premises , public , private and / or multi-cloud environments .
So , now that you have your data stack optimised , how can you ensure your business users can interact with it to drive the insights that the business needs ? Business users often feel ‘ locked out ’ of enterprise data with cumbersome reporting and request processes .
Getting to grips with the CIO role in the era of intelligence
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